2024
Single-cell genomics and regulatory networks for 388 human brains
Emani P, Liu J, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee C, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken T, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard J, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman G, Huang A, Jiang Y, Jin T, Jorstad N, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran J, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan A, Riesenmy T, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini K, Wamsley B, Wang G, Xia Y, Xiao S, Yang A, Zheng S, Gandal M, Lee D, Lein E, Roussos P, Sestan N, Weng Z, White K, Won H, Girgenti M, Zhang J, Wang D, Geschwind D, Gerstein M, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Berretta S, Bharadwaj R, Bhattacharya A, Brennand K, Capauto D, Champagne F, Chatzinakos C, Chen H, Cheng L, Chess A, Chien J, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Davila-Velderrain J, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duong D, Eagles N, Edelstein J, Galani K, Girdhar K, Goes F, Greenleaf W, Guo H, Guo Q, Hadas Y, Hallmayer J, Han X, Haroutunian V, He C, Hicks S, Ho M, Ho L, Huang Y, Huuki-Myers L, Hyde T, Iatrou A, Inoue F, Jajoo A, Jiang L, Jin P, Jops C, Jourdon A, Kellis M, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Li J, Li M, Lin X, Liu S, Liu C, Loupe J, Lu D, Ma L, Mariani J, Martinowich K, Maynard K, Myers R, Micallef C, Mikhailova T, Ming G, Mohammadi S, Monte E, Montgomery K, Mukamel E, Nairn A, Nemeroff C, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Pinto D, Pochareddy S, Pollard K, Pollen A, Przytycki P, Purmann C, Qin Z, Qu P, Raj T, Reach S, Reimonn T, Ressler K, Ross D, Rozowsky J, Ruth M, Ruzicka W, Sanders S, Schneider J, Scuderi S, Sebra R, Seyfried N, Shao Z, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Subburaju S, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Voloudakis G, Wang T, Wang S, Wang Y, Wei Y, Weimer A, Weinberger D, Wen C, Whalen S, Willsey A, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang Y, Ziffra R, Zeier Z, Zintel T. Single-cell genomics and regulatory networks for 388 human brains. Science 2024, 384: eadi5199. PMID: 38781369, DOI: 10.1126/science.adi5199.Peer-Reviewed Original ResearchConceptsSingle-cell genomicsSingle-cell expression quantitative trait locusExpression quantitative trait lociDrug targetsQuantitative trait lociPopulation-level variationSingle-cell expressionCell typesDisease-risk genesTrait lociGene familyRegulatory networksGene expressionCell-typeMultiomics datasetsSingle-nucleiGenomeGenesCellular changesHeterogeneous tissuesExpressionCellsChromatinLociMultiomics
2023
Multi-omic profiling of the developing human cerebral cortex at the single-cell level
Zhu K, Bendl J, Rahman S, Vicari J, Coleman C, Clarence T, Latouche O, Tsankova N, Li A, Brennand K, Lee D, Yuan G, Fullard J, Roussos P. Multi-omic profiling of the developing human cerebral cortex at the single-cell level. Science Advances 2023, 9: eadg3754. PMID: 37824614, PMCID: PMC10569714, DOI: 10.1126/sciadv.adg3754.Peer-Reviewed Original ResearchConceptsCis-regulatory elementsChromatin accessibilityGene expressionPseudotime trajectory analysisNeuronal lineage commitmentMulti-omics profilingSingle-cell levelSpecific genetic lociDevelopmental time pointsChromatin structureType-specific domainsLineage determinationCellular complexityLineage commitmentNeuropsychiatric traitsComplex regulationGenetic lociSpatiotemporal activityDynamic changesCritical roleExpressionSpatiotemporal alterationsCell compositionCritical stageNeuropsychiatric diseasesThe functional and evolutionary impacts of human-specific deletions in conserved elements
Xue J, Mackay-Smith A, Mouri K, Garcia M, Dong M, Akers J, Noble M, Li X, Lindblad-Toh K, Karlsson E, Noonan J, Capellini T, Brennand K, Tewhey R, Sabeti P, Reilly S, Andrews G, Armstrong J, Bianchi M, Birren B, Bredemeyer K, Breit A, Christmas M, Clawson H, Damas J, Di Palma F, Diekhans M, Dong M, Eizirik E, Fan K, Fanter C, Foley N, Forsberg-Nilsson K, Garcia C, Gatesy J, Gazal S, Genereux D, Goodman L, Grimshaw J, Halsey M, Harris A, Hickey G, Hiller M, Hindle A, Hubley R, Hughes G, Johnson J, Juan D, Kaplow I, Karlsson E, Keough K, Kirilenko B, Koepfli K, Korstian J, Kowalczyk A, Kozyrev S, Lawler A, Lawless C, Lehmann T, Levesque D, Lewin H, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu V, Marques-Bonet T, Mason V, Meadows J, Meyer W, Moore J, Moreira L, Moreno-Santillan D, Morrill K, Muntané G, Murphy W, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat N, Pfenning A, Phan B, Pollard K, Pratt H, Ray D, Reilly S, Rosen J, Ruf I, Ryan L, Ryder O, Sabeti P, Schäffer D, Serres A, Shapiro B, Smit A, Springer M, Srinivasan C, Steiner C, Storer J, Sullivan K, Sullivan P, Sundström E, Supple M, Swofford R, Talbot J, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder A, Wirthlin M, Xue J, Zhang X. The functional and evolutionary impacts of human-specific deletions in conserved elements. Science 2023, 380: eabn2253. PMID: 37104592, PMCID: PMC10202372, DOI: 10.1126/science.abn2253.Peer-Reviewed Original ResearchConceptsHuman-specific deletionHuman phenotypic traitsParallel reporterEvolutionary impactDevelopmental genesPhenotypic traitsEvolutionary mechanismsGenomic sequencesNew traitsTranscriptomic datasetsSequence altersRegulatory functionsCell typesRegulatory activityRich resourceDeletionSynaptic functionTraitsBrain developmentGenesSpeciesReporterHumansSequenceExpression
2022
Rescue of deficits by Brwd1 copy number restoration in the Ts65Dn mouse model of Down syndrome
Fulton S, Wenderski W, Lepack A, Eagle A, Fanutza T, Bastle R, Ramakrishnan A, Hays E, Neal A, Bendl J, Farrelly L, Al-Kachak A, Lyu Y, Cetin B, Chan J, Tran T, Neve R, Roper R, Brennand K, Roussos P, Schimenti J, Friedman A, Shen L, Blitzer R, Robison A, Crabtree G, Maze I. Rescue of deficits by Brwd1 copy number restoration in the Ts65Dn mouse model of Down syndrome. Nature Communications 2022, 13: 6384. PMID: 36289231, PMCID: PMC9606253, DOI: 10.1038/s41467-022-34200-0.Peer-Reviewed Original ResearchConceptsGene expressionChromatin accessibilityChromatin effectorsBAF chromatinGenetic basisTrisomic animalsIPS cellsBRWD1Chromosome 21Down syndromeHSA21Ts65Dn mouse modelCommon chromosomal conditionExpressionChromatinNormal neurodevelopmentChromosomal conditionHippocampal LTPMouse modelMistargetingGenesTrisomic miceCognitive deficitsEffectorsSyndromeA translational genomics approach identifies IL10RB as the top candidate gene target for COVID-19 susceptibility
Voloudakis G, Vicari J, Venkatesh S, Hoffman G, Dobrindt K, Zhang W, Beckmann N, Higgins C, Argyriou S, Jiang S, Hoagland D, Gao L, Corvelo A, Cho K, Lee K, Bian J, Lee J, Iyengar S, Luoh S, Akbarian S, Striker R, Assimes T, Schadt E, Lynch J, Merad M, tenOever B, Charney A, Brennand K, Fullard J, Roussos P. A translational genomics approach identifies IL10RB as the top candidate gene target for COVID-19 susceptibility. Npj Genomic Medicine 2022, 7: 52. PMID: 36064543, PMCID: PMC9441828, DOI: 10.1038/s41525-022-00324-x.Peer-Reviewed Original ResearchCandidate gene targetsGene targetsTranslational genomics approachesHost susceptibilityGenomic approachesGenetic susceptibility variantsGenetic lociDruggable genesGene expressionMolecular pathwaysSusceptibility variantsCOVID-19 susceptibilityGenetic findingsApproach identifiesExpressionCOVID-19 patient bloodCritical next stepGenesLociOverexpressionTargetPathwaySusceptibilityIL10RBRecent effortsA bidirectional competitive interaction between circHomer1 and Homer1b within the orbitofrontal cortex regulates reversal learning
Hafez A, Zimmerman A, Papageorgiou G, Chandrasekaran J, Amoah S, Lin R, Lozano E, Pierotti C, Dell'Orco M, Hartley B, Alural B, Lalonde J, Esposito J, Berretta S, Squassina A, Chillotti C, Voloudakis G, Shao Z, Fullard J, Brennand K, Turecki G, Roussos P, Perlis R, Haggarty S, Perrone-Bizzozero N, Brigman J, Mellios N. A bidirectional competitive interaction between circHomer1 and Homer1b within the orbitofrontal cortex regulates reversal learning. Cell Reports 2022, 38: 110282. PMID: 35045295, PMCID: PMC8809079, DOI: 10.1016/j.celrep.2021.110282.Peer-Reviewed Original ResearchConceptsImportance of circRNAsRNA-binding proteinSynaptic gene expressionCircular RNAsGene expressionOrbitofrontal cortexCompetitive interactionsComplete rescuePsychiatric disordersKnockdownSynaptic expressionMechanistic insightsBrain functionMRNAHomer1bBehavioral flexibilityNeuronal culturesExpressionBiogenesisCircRNAsRNAProteinRegulatesReversal learningDisorders
2021
Using the dCas9-KRAB system to repress gene expression in hiPSC-derived NGN2 neurons
Li A, Cartwright S, Yu A, Ho SM, Schrode N, Deans PJM, Matos MR, Garcia MF, Townsley KG, Zhang B, Brennand KJ. Using the dCas9-KRAB system to repress gene expression in hiPSC-derived NGN2 neurons. STAR Protocols 2021, 2: 100580. PMID: 34151300, PMCID: PMC8188621, DOI: 10.1016/j.xpro.2021.100580.Peer-Reviewed Original ResearchConceptsCRISPR inhibitionGene expressionDCas9-KRAB systemEndogenous gene expressionMultiple target genesGene repressionGene activationTarget genesGene manipulationFusion proteinComplete detailsPluripotent stemExpressionGlutamatergic neuronsRepressionGenesPhenotypicProteinStemNeuronsActivationBrain diseasesInhibition
2020
Cell Type-Specific In Vitro Gene Expression Profiling of Stem Cell-Derived Neural Models
Gregory JA, Hoelzli E, Abdelaal R, Braine C, Cuevas M, Halpern M, Barretto N, Schrode N, Akbalik G, Kang K, Cheng E, Bowles K, Lotz S, Goderie S, Karch CM, Temple S, Goate A, Brennand KJ, Phatnani H. Cell Type-Specific In Vitro Gene Expression Profiling of Stem Cell-Derived Neural Models. Cells 2020, 9: 1406. PMID: 32516938, PMCID: PMC7349756, DOI: 10.3390/cells9061406.Peer-Reviewed Original ResearchConceptsCell type-restricted expressionDisease-associated interactionsGene expression profilingHiPSC-derived motor neuronsHuman-induced pluripotent stem cellsPluripotent stem cellsCell-type specific perturbationsImmortalized cell linesRibosomal proteinsGenomic studiesExpression profilingMolecular mechanismsOff-target RNAMouse tissuesCell typesStem cellsPrimary mouse astrocytesExperimental replicatesCell linesMixed speciesMouse astrocytesExpressionMotor neuronsRiboTagCellsA psychiatric disease-related circular RNA controls synaptic gene expression and cognition
Zimmerman AJ, Hafez AK, Amoah SK, Rodriguez BA, Dell’Orco M, Lozano E, Hartley BJ, Alural B, Lalonde J, Chander P, Webster MJ, Perlis RH, Brennand KJ, Haggarty SJ, Weick J, Perrone-Bizzozero N, Brigman JL, Mellios N. A psychiatric disease-related circular RNA controls synaptic gene expression and cognition. Molecular Psychiatry 2020, 25: 2712-2727. PMID: 31988434, PMCID: PMC7577899, DOI: 10.1038/s41380-020-0653-4.Peer-Reviewed Original ResearchConceptsSynaptic gene expressionCircular RNAsGene expressionAlternative mRNA transcriptsDisease-associated circRNAsHomolog 1Neuronal RNAMRNA transcriptsRNASynaptic expressionAge of onsetMammalian brainCircRNAsPotential involvementDorsolateral prefrontal cortexOrbitofrontal cortexBipolar disorderPrefrontal cortexKnockdownExpressionFrontal cortexSynaptic plasticityNeuronal culturesPsychiatric diseasesMouse orbitofrontal cortex
2017
Mapping regulatory variants in hiPSC models
Hoffman GE, Brennand KJ. Mapping regulatory variants in hiPSC models. Nature Genetics 2017, 50: 1-2. PMID: 29273803, DOI: 10.1038/s41588-017-0017-4.Peer-Reviewed Original ResearchTHC Treatment Alters Glutamate Receptor Gene Expression in Human Stem Cell-Derived Neurons
Obiorah I, Muhammad H, Stafford K, Flaherty E, Brennand K. THC Treatment Alters Glutamate Receptor Gene Expression in Human Stem Cell-Derived Neurons. Complex Psychiatry 2017, 3: 73-84. PMID: 29230395, PMCID: PMC5701275, DOI: 10.1159/000477762.Peer-Reviewed Original ResearchTHC exposureHuman-induced pluripotent stem cellsGlutamate receptor gene expressionHuman stem cell-derived neuronsHiPSC-derived neuronsStem cell-derived neuronsΔ9-tetrahydrocannabinol exposureGlutamate receptor subunit genesCell-derived neuronsGenetic risk factorsReceptor gene expressionRisk factorsExcitatory neuronsHuman neuronsReceptor subunit genesBehavioral effectsNeuronsDisease vulnerabilityStem cellsPluripotent stem cellsExposureVariety of genotypesGene expressionExpressionSubunit gene